The organizations produce and store all kinds of data in their information system every day. The diversity of data brings us to ask what are the best security policies for data, and how to validate a project. For example, data produced can be duplicated in training environments, test environments, critical data, confidential data, and sensitive data for the organization can be found on a protected hosting.
The question of data anonymization is indeed a crucial component in the data governance and cybersecurity approach in order to better anticipate the protection of your data.
Reduce the risk of data leakage.
Ensure data consistency and usability
Reduce the impact of GDPR-related constraints on the organization's strategy.
The search for fields to anonymize is done by the classification of metadata and, or directly by a comprehension of data.